GSD-2021-22876
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
curl 7.1.1 to and including 7.75.0 is vulnerable to an "Exposure of Private Personal Information to an Unauthorized Actor" by leaking credentials in the HTTP Referer: header. libcurl does not strip off user credentials from the URL when automatically populating the Referer: HTTP request header field in outgoing HTTP requests, and therefore risks leaking sensitive data to the server that is the target of the second HTTP request.
Aliases
Aliases
{
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"alias": "CVE-2021-22876",
"description": "curl 7.1.1 to and including 7.75.0 is vulnerable to an \"Exposure of Private Personal Information to an Unauthorized Actor\" by leaking credentials in the HTTP Referer: header. libcurl does not strip off user credentials from the URL when automatically populating the Referer: HTTP request header field in outgoing HTTP requests, and therefore risks leaking sensitive data to the server that is the target of the second HTTP request.",
"id": "GSD-2021-22876",
"references": [
"https://www.suse.com/security/cve/CVE-2021-22876.html",
"https://www.debian.org/security/2021/dsa-4881",
"https://access.redhat.com/errata/RHSA-2021:4511",
"https://access.redhat.com/errata/RHSA-2021:2472",
"https://access.redhat.com/errata/RHSA-2021:2471",
"https://ubuntu.com/security/CVE-2021-22876",
"https://advisories.mageia.org/CVE-2021-22876.html",
"https://security.archlinux.org/CVE-2021-22876",
"https://access.redhat.com/errata/RHSA-2022:1354",
"https://alas.aws.amazon.com/cve/html/CVE-2021-22876.html",
"https://linux.oracle.com/cve/CVE-2021-22876.html"
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"remediation": "unknown",
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"modified": "2023-12-13T01:23:24.089942Z",
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"cwe_ids": [
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"CWE-200",
"CWE-937"
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"date": "2022-04-06",
"description": "curl to and including is vulnerable to an \"Exposure of Private Personal Information to an Unauthorized Actor\" by leaking credentials in the HTTP Referer: header. libcurl does not strip off user credentials from the URL when automatically populating the Referer: HTTP request header field in outgoing HTTP requests, and therefore risks leaking sensitive data to the server that is the target of the second HTTP request.",
"fixed_versions": [
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"identifier": "CVE-2021-22876",
"identifiers": [
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"not_impacted": "All versions before 7.1.1, all versions after 7.75.0",
"package_slug": "conan/libcurl",
"pubdate": "2021-04-01",
"solution": "Upgrade to version 7.76.0 or above.",
"title": "Information Exposure",
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"value": "curl versiones 7.1.1 hasta 7.75.0 incluy\u00e9ndola, es vulnerable a una \"Exposure of Private Personal Information to an Unauthorized Actor\" al filtrar credenciales en el encabezado HTTP Referer:.\u0026#xa0;libcurl no elimina las credenciales de usuario de la URL cuando completa autom\u00e1ticamente el campo de encabezado de petici\u00f3n HTTP Referer: en peticiones HTTP salientes y, por lo tanto, corre el riesgo de filtrar datos confidenciales al servidor que es el objetivo de la segunda petici\u00f3n HTTP."
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"lastModified": "2024-03-27T15:47:49.590",
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}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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